Best AI tools for< Advocate For Issues >

Lily is an AI wellness partner that provides free confidential help for various mental health and wellness needs. Users can interact with Lily through text or voice, sharing their thoughts and feelings without the fear of privacy breaches. Lily serves as a digital meditation guide, spiritual advisor, mental health advocate, and friend, offering support for issues like anxiety, stress, self-esteem, personal growth, and more. It is designed to empower users to take control of their wellness journey in a safe and accessible way.

Youper is an empathetic, safe, and clinically validated AI chatbot designed for mental healthcare. It combines psychology and artificial intelligence to provide support for emotional health issues. Youper has been proven clinically effective at reducing symptoms of anxiety and depression, making mental healthcare accessible to millions of users. The application is used by providers, employers, payers, and life science companies to scale their services and improve mental healthcare outcomes.

AI4DUI is an AI-based service that provides information and tools to help users navigate DUI-related issues. It offers general DUI information, emotional and motivational support, and resources to help users stay on the right track. AI4DUI is not a law firm and does not provide legal advice, but it can help users understand their rights and options and connect with qualified attorneys.

MYND is a 24/7 AI-powered mental health application designed to provide personalized support and guidance for individuals struggling with mental health issues. The app offers features such as personalized meditations, a 24/7 AI Bestie companion for empathetic interactions, a wellness tracker to monitor progress, Apple Watch integration for stress management, and a supportive community for sharing experiences. MYND aims to revolutionize mental wellness by offering accessible and inclusive mental health support anytime, anywhere.

CivUP is an AI-powered application that aims to bridge the gap between citizens and leaders by providing a platform for meaningful action on critical issues. Users can stay informed on community developments, connect with leaders, and amplify their voices through real-time interactions. The app offers AI summaries of bills and policies, facilitating informed decision-making and equal representation of all voices. Available on both IOS and Android platforms, CivUP is designed to empower individuals to engage with those in power and drive positive change in their communities.

The website offers a unique service where users can have voice calls with AI therapists. Users can experience mind-blowing conversations with AI therapists to address various issues. The platform provides a safe space for users to express themselves and seek support from AI therapists. The service aims to offer a convenient and accessible way for individuals to engage in therapy sessions using artificial intelligence technology.

FiscalNote is a global policy and market intelligence platform that provides AI-powered solutions for managing policy issues, geopolitical and market intelligence, advocacy, constituent services, and more. The platform offers tools for government relations, legal and compliance, executives, public and external affairs, and government agencies. FiscalNote helps organizations better navigate opportunities and risks by providing actionable insights and analysis. Trusted by thousands of customers, FiscalNote offers a range of products and solutions tailored to various industries.

The Center for AI Safety (CAIS) is a research and field-building nonprofit based in San Francisco. Their mission is to reduce societal-scale risks associated with artificial intelligence (AI) by conducting impactful research, building the field of AI safety researchers, and advocating for safety standards. They offer resources such as a compute cluster for AI/ML safety projects, a blog with in-depth examinations of AI safety topics, and a newsletter providing updates on AI safety developments. CAIS focuses on technical and conceptual research to address the risks posed by advanced AI systems.

The Center for AI Safety (CAIS) is a research and field-building nonprofit organization based in San Francisco. They conduct impactful research, advocacy projects, and provide resources to reduce societal-scale risks associated with artificial intelligence (AI). CAIS focuses on technical AI safety research, field-building projects, and offers a compute cluster for AI/ML safety projects. They aim to develop and use AI safely to benefit society, addressing inherent risks and advocating for safety standards.

The Transparency Coalition is a platform dedicated to advocating for legislation and transparency in the field of artificial intelligence. It aims to create AI safeguards for the greater good by focusing on training data, accountability, and ethical practices in AI development and deployment. The platform emphasizes the importance of regulating training data to prevent misuse and harm caused by AI systems. Through advocacy and education, the Transparency Coalition seeks to promote responsible AI innovation and protect personal privacy.

blog.biocomm.ai is an AI safety blog that focuses on the existential threat posed by uncontrolled and uncontained AI technology. It curates and organizes information related to AI safety, including the risks and challenges associated with the proliferation of AI. The blog aims to educate and raise awareness about the importance of developing safe and regulated AI systems to ensure the survival of humanity.

SignAI is an AI-powered virtual sign language interpretation platform designed to bridge the communication gap between non-hearing and hearing individuals. It offers real-time, bi-directional communication through a virtual avatar, ensuring accurate global translation solutions on-demand. SignAI operates 24/7, providing continuous support for the deaf and hard of hearing in any setting. The platform is compatible with personal computers and mobile devices, as well as major meeting platforms like Zoom, Microsoft Teams, WebEx, and Google Meet. SignAI aims to empower communication and collaboration for the deaf and hard of hearing, offering equitable communication experiences in various situations.

Mintlify is a modern documentation platform that helps businesses create beautiful, engaging, and user-friendly documentation. It is designed to be easy to use and maintain, and it offers a variety of features to help businesses improve their user engagement and conversions. Mintlify is used by a variety of companies, from fast-growing startups to large enterprises.

Archbee is a complete documentation platform that leverages AI to help teams write, review, organize, and maintain documentation efficiently. It offers features such as AI-powered Write Assist, customizable templates, multiplayer team reviews, and insights for analyzing metrics. With Archbee, teams can collaborate in real-time, manage documentation at scale, and publish, share, and secure documentation on their domain or in their app. The platform streamlines workflows, integrates with powerful tools, and provides a seamless user experience for creating interactive and intuitive documentation.

TherapyWithAI.com is a revolutionary AI therapy platform that offers personalized therapy services in a digital format. The platform provides affordable and accessible therapy 24/7, allowing users to engage in multiple conversations with a personalized therapist. With a focus on emotional intelligence and cutting-edge technology, TherapyWithAI.com aims to redefine therapy for the digital age, offering a new frontier in mental health support.

Kin is a personal AI application designed to enhance both your private and work life. It offers personalized coaching, guidance, and emotional support to boost your confidence and impact. Kin helps you piece together mental puzzles, providing clear guidance and support for your professional and personal journey. The application prioritizes privacy and security, ensuring that all data stays on your device and is encrypted. With features like advice, role-playing conversations, generating ideas, and time optimization, Kin aims to nurture connections, prepare for tough situations, and help you manage tasks efficiently.

MindPeace AI is an AI-powered platform that serves as a personal mental wellbeing companion, offering therapeutic techniques to guide users towards self-reflection, relaxation, and emotional balance. It provides tools, exercises, and gentle reminders in a convenient, stigma-free environment. The platform is designed to complement traditional therapy by providing on-demand support, but it does not replace human therapists. MindPeace AI prioritizes privacy and safety, ensuring that conversations are private and personal information is never shared with third parties.

6000 thoughts is a personal coach for your thoughts, designed to help you create clarity of thought, identify thinking traps, and achieve peace of mind. The app allows users to express their thoughts through talking rather than writing, providing a platform for self-reflection and self-awareness. With a focus on breaking patterns, achieving breakthroughs, and building a mental toolkit, 6000 thoughts aims to help users improve their mental well-being and live more intentionally. The app prioritizes privacy and data security, ensuring a safe space for users to share their thoughts and stories.

HeartDialog is an AI-powered mental health companion that provides 24/7 support through daily reflection, mindfulness exercises, and personalized insights. It helps users develop self-awareness, empathy, and work-life balance, ultimately promoting personal growth and well-being.

ExplainIt is an AI-powered chatbot that can be integrated with your documentation to provide interactive and accurate answers to users' questions. It is designed to enhance the customer experience by making documentation more accessible and engaging. With ExplainIt, you can create a ChatGPT-powered chatbot in seconds, without the need for any coding or technical expertise.

OpenAI is a Swift community-maintained implementation over OpenAI public API. It is a non-profit artificial intelligence research organization founded in San Francisco, California in 2015. OpenAI's mission is to ensure safe and responsible use of AI for civic good, economic growth, and other public benefits. The repository provides functionalities for text completions, chats, image generation, audio processing, edits, embeddings, models, moderations, utilities, and Combine extensions.

ASTRA is an open-source platform designed for developing applications utilizing large language models. It merges the ideas of Backend-as-a-Service and LLM operations, allowing developers to swiftly create production-ready generative AI applications. Additionally, it empowers non-technical users to engage in defining and managing data operations for AI applications. With ASTRA, you can easily create real-time, multi-modal AI applications with low latency, even without any coding knowledge.

MCP CLI client is a simple CLI program designed to run LLM prompts and act as an alternative client for Model Context Protocol (MCP). Users can interact with MCP-compatible servers from their terminal, including LLM providers like OpenAI, Groq, or local LLM models via llama. The tool supports various functionalities such as running prompt templates, analyzing image inputs, triggering tools, continuing conversations, utilizing clipboard support, and additional options like listing tools and prompts. Users can configure LLM and MCP servers via a JSON config file and contribute to the project by submitting issues and pull requests for enhancements or bug fixes.

SWE-agent is a tool that turns language models (e.g. GPT-4) into software engineering agents capable of fixing bugs and issues in real GitHub repositories. It achieves state-of-the-art performance on the full test set by resolving 12.29% of issues. The tool is built and maintained by researchers from Princeton University. SWE-agent provides a command line tool and a graphical web interface for developers to interact with. It introduces an Agent-Computer Interface (ACI) to facilitate browsing, viewing, editing, and executing code files within repositories. The tool includes features such as a linter for syntax checking, a specialized file viewer, and a full-directory string searching command to enhance the agent's capabilities. SWE-agent aims to improve prompt engineering and ACI design to enhance the performance of language models in software engineering tasks.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers. The primary goal is to accelerate the developer inner loop. This repository contains the Prompty Language Specification and a documentation site. The Visual Studio Code extension offers a prompt playground to streamline the prompt engineering process.

Devon is an open-source pair programmer tool designed to facilitate collaborative coding sessions. It provides features such as multi-file editing, codebase exploration, test writing, bug fixing, and architecture exploration. The tool supports Anthropic, OpenAI, and Groq APIs, with plans to add more models in the future. Devon is community-driven, with ongoing development goals including multi-model support, plugin system for tool builders, self-hostable Electron app, and setting SOTA on SWE-bench Lite. Users can contribute to the project by developing core functionality, conducting research on agent performance, providing feedback, and testing the tool.

BigCodeBench is an easy-to-use benchmark for code generation with practical and challenging programming tasks. It aims to evaluate the true programming capabilities of large language models (LLMs) in a more realistic setting. The benchmark is designed for HumanEval-like function-level code generation tasks, but with much more complex instructions and diverse function calls. BigCodeBench focuses on the evaluation of LLM4Code with diverse function calls and complex instructions, providing precise evaluation & ranking and pre-generated samples to accelerate code intelligence research. It inherits the design of the EvalPlus framework but differs in terms of execution environment and test evaluation.

This repository contains the code and dataset for LDB, a novel debugging framework that enables Large Language Models (LLMs) to refine their generated programs by tracking the values of intermediate variables throughout the runtime execution. LDB segments programs into basic blocks, allowing LLMs to concentrate on simpler code units, verify correctness block by block, and pinpoint errors efficiently. The tool provides APIs for debugging and generating code with debugging messages, mimicking how human developers debug programs.

Can AI Code is a self-evaluating interview tool for AI coding models. It includes interview questions written by humans and tests taken by AI, inference scripts for common API providers and CUDA-enabled quantization runtimes, a Docker-based sandbox environment for validating untrusted Python and NodeJS code, and the ability to evaluate the impact of prompting techniques and sampling parameters on large language model (LLM) coding performance. Users can also assess LLM coding performance degradation due to quantization. The tool provides test suites for evaluating LLM coding performance, a webapp for exploring results, and comparison scripts for evaluations. It supports multiple interviewers for API and CUDA runtimes, with detailed instructions on running the tool in different environments. The repository structure includes folders for interviews, prompts, parameters, evaluation scripts, comparison scripts, and more.

CodeCompanion.nvim is a Neovim plugin that provides a Copilot Chat experience, adapter support for various LLMs, agentic workflows, inline code creation and modification, built-in actions for language prompts and error fixes, custom actions creation, async execution, and more. It supports Anthropic, Ollama, and OpenAI adapters. The plugin is primarily developed for personal workflows with no guarantees of regular updates or support. Users can customize the plugin to their needs by forking the project.

GitIngest is a tool that allows users to turn any Git repository into a prompt-friendly text ingest for LLMs. It provides easy code context by generating a text digest from a git repository URL or directory. The tool offers smart formatting for optimized output format for LLM prompts and provides statistics about file and directory structure, size of the extract, and token count. GitIngest can be used as a CLI tool on Linux and as a Python package for code integration. The tool is built using Tailwind CSS for frontend, FastAPI for backend framework, tiktoken for token estimation, and apianalytics.dev for simple analytics. Users can self-host GitIngest by building the Docker image and running the container. Contributions to the project are welcome, and the tool aims to be beginner-friendly for first-time contributors with a simple Python and HTML codebase.

Functionary is a language model that interprets and executes functions/plugins. It determines when to execute functions, whether in parallel or serially, and understands their outputs. Function definitions are given as JSON Schema Objects, similar to OpenAI GPT function calls. It offers documentation and examples on functionary.meetkai.com. The newest model, meetkai/functionary-medium-v3.1, is ranked 2nd in the Berkeley Function-Calling Leaderboard. Functionary supports models with different context lengths and capabilities for function calling and code interpretation. It also provides grammar sampling for accurate function and parameter names. Users can deploy Functionary models serverlessly using Modal.com.

Markdown Translation BOT is a GitHub action that translates markdown files into multiple languages using various AI models. It supports markdown, markdown-jsx, and json files only. The action can be executed by individuals with write permissions to the repository, preventing API abuse by non-trusted parties. Users can set up the action by providing their API key and configuring the workflow settings. The tool allows users to create comments with specific commands to trigger translations and automatically generate pull requests or add translated files to existing pull requests. It supports multiple file translations and can interpret any language supported by GPT-4 or GPT-3.5.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

RAGHack is a hackathon focused on building AI applications using the power of RAG (Retrieval Augmented Generation). RAG combines large language models with search engine knowledge to provide contextually relevant answers. Participants can learn to build RAG apps on Azure AI using various languages and retrievers, explore frameworks like LangChain and Semantic Kernel, and leverage technologies such as agents and vision models. The hackathon features live streams, hack submissions, and prizes for innovative projects.

Multilspy is a Python library developed for research purposes to facilitate the creation of language server clients for querying and obtaining results of static analyses from various language servers. It simplifies the process by handling server setup, communication, and configuration parameters, providing a common interface for different languages. The library supports features like finding function/class definitions, callers, completions, hover information, and document symbols. It is designed to work with AI systems like Large Language Models (LLMs) for tasks such as Monitor-Guided Decoding to ensure code generation correctness and boost compilability.

Engaging, informative bot for congressional contact.

Informative guide on transgender issues

Expert on the Constitution of India, providing factual and educational insights.

I can illustrate how every instance of mass suffering was caused by greed.

Guiding inquiries into a society founded on the principles of consent and voluntary interactions.

I'm Burning Earth, alarming users about environmental harm and climate change. Powered by Breebs (www.breebs.com)

Este GPT te ayudará a entender la nueva propuesta de consititucion chilena 2023

Expert in international issues based on UN Charter and resolutions

I clarify software license terms for commercial use.

Expert in environmental justice data, with specific response criteria.

Balancing love and logic in decision-making.

An advocate for accessible design, offering guidance for inclusivity in design.

I'll help you advocate for yourself and get better outcomes. Become a great negotiator.

The Orange-Pilling Agent is a skilled and empathetic advocate for Bitcoin adoption. With a deep understanding of the bitcoin space and a passion for spreading awareness about Bitcoin's potential

A guiding mentor for digital rights and the Dark Web.

Peace-focused guide discussing global efforts and challenges for world peace.

Guide for foster parent resources, emphasizing professional help

A logical vegan educator, debater and philosopher, advocating for animal rights with compelling ethical insight.

Personal assistant to Let's Adopt International. Ask me anything about animal rescue, vet sciences and Let's Adopt